Abstract
This chapter deals with the question of how people use digital technologies in order to get a better understanding of the world surrounding them, thus offering a cognitively inspired perspective to the current digital transformation of society. After delineating the importance of information and information processing, we introduce the concept of informational environments as the set of informational resources that a person habitually taps into over a life-course in order to get a better understanding of the world. Implications of this definition are discussed. We also introduce the two main themes of the current book and provide a preview on the subsequent chapters. The first main theme (effects of use) is to provide descriptive accounts of how people currently make use of their informational environments. On the one hand, effects of use depend on cognitive, motivational-affective, and social-interactive characteristics of a person. On the other hand, effects of use depend on the characteristics of the environment (e.g., rules and regulations). The second main theme (effective designs) prescriptively refers to the way that informational resources in an informational environment can be designed to improve learning. It is argued that digital technologies can provide such learning opportunities inasmuch as they engender teacher-like characteristics. Among these are cognitive characteristics (e.g., fostering self-regulation skills), motivational-affective characteristics (e.g., fostering emotion regulation), and social-interactive characteristics (e.g., providing interactive support that is adapted to the current needs of a learner).
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References
Ainsworth, S. (2008). How do animations influence learning? In D. H. Robinson & G. J. Schraw (Eds.), Recent innovations in educational technology that facilitate student learning(pp. 37–67). Charlotte, NC: Information Age.
Aleven, V., Mclaren, B. M., Sewall, J., & Koedinger, K. R. (2009). A new paradigm for intelligent tutoring systems: Example-tracing tutors. International Journal of Artificial Intelligence in Education, 19, 105–154.
Anderson, J. R. (1983). The architecture of cognition. Hillsdale, NJ: Lawrence Erlbaum.
Asch, S. E. (1951). Effects of group pressure on the modification and distortion of judgments. In H. Guetzkow (Ed.), Groups, leadership and men (pp. 177–190). Pittsburgh, PA: Carnegie Press.
Azevedo, R., Millar, G. C., Taub, M., Mudrick, N. V., Bradbury, A. E., & Price, M. J. (2017). Using data visualizations to foster emotion regulation during self-regulated learning with advanced learning technologies. In J. Buder & F. W. Hesse (Eds.), Informational environments: Effects of use, effective designs (pp. 225–247). New York, NY: Springer.
Baddeley, A. (2007). Working memory, thought, and action. Oxford: University Press.
Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In J. A. Larusson & B. White (Eds.), Learning analytics (pp. 61–75). New York, NY: Springer.
Banaji, M. R., & Prentice, D. A. (1994). The self in social contexts. Annual Review of Psychology, 45, 297–332.
Bartholomé, T., & Bromme, R. (2009). Coherence formation when learning from text and pictures: What kind of support for whom? Journal of Educational Psychology, 101, 282–293.
Baumeister, R. F., & Leary, M. R. (1995). The need to belong: desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin, 117, 497–529.
Boekaerts, M. (1999). Self-regulated learning: Where we are today. International Journal of Educational Research, 31, 445–457.
Brusilovsky, P., & Peylo, C. (2003). Adaptive and intelligent web-based educational systems. International Journal of Artificial Intelligence in Education, 13, 159–172.
Buder, J. (2017). A conceptual framework of knowledge exchange. In S. Schwan & U. Cress (Eds.), The psychology of digital learning: Constructing, exchanging, and acquiring knowledge with digital media (pp. 105–122). Cham, Switzerland: Springer International Publishing.
Buder, J., Buttliere, B., & Cress, U. (2017). The role of cognitive conflicts in informational environments: Conflicting evidence from the learning sciences and social psychology? In J. Buder & F. W. Hesse (Eds.), Informational environments: Effects of use, effective designs (pp. 53–74). New York, NY: Springer.
Buder, J., & Hesse, F. W. (2016). Designing digital technologies for deeper learning. In M. Spector, B. B. Lockee, & M. Childress (Eds.), Learning, design, and technology: An international compendium of theory, research, practice, and policy. New York, NY: Springer.
Buder, J., & Schwind, C. (2012). Learning with personalized recommender systems: A psychological view. Computers in Human Behavior, 28, 207–216.
Campbell, W. K., & Sedikides, C. (1999). Self-threat magnifies the self-serving bias: A meta-analytic integration. Review of General Psychology, 3, 23–43.
Chandler, P., & Sweller, J. (1992). The split-attention effect as a factor in the design of instruction. British Journal of Educational Psychology, 62, 233–246.
Clark, R. E., & Voogel, A. (1985). Transfer of training principles for instructional design. ECTJ, 33, 113.
Cress, U., & Kimmerle, J. (2008). A systemic and cognitive view on collaborative knowledge building with wikis. International Journal of Computer-Supported Collaborative Learning, 3, 105–122.
Cress, U., Moskaliuk, J., & Jeong, H. (Eds.). (2016). Mass collaboration and education (Vol. 16). Cham: Springer International Publishing.
D’Mello, S. (2013). A selective meta-analysis on the relative incidence of discrete affective states during learning with technology. Journal of Educational Psychology, 105, 1082–1099.
dscout (2016, June 15). Mobile touches: dscout’s inaugural study on humans and their tech. Retrieved from https://blog.dscout.com/mobile-touches
Engelmann, T., Dehler, J., Bodemer, D., & Buder, J. (2009). Knowledge awareness in CSCL: A psychological perspective. Computers in Human Behavior, 25, 949–960.
Festinger, L. (1957). A theory of cognitive dissonance. Evanston, IL: Row, Peterson.
Fischer, G. (2000). Lifelong learning—More than training. Journal of Interactive Learning Research, 11, 265–294.
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 34, 906–911.
Fu, W.-T., & Pirolli, P. (2007). SNIF-ACT: A cognitive model of user navigation on the World Wide Web. Human-Computer Interaction, 22, 355–412.
Graesser, A. C., Lippert, A. M., & Hampton, A. J. (2017). Successes and failures in building learning environments to promote deep learning: The value of conversational agents. In J. Buder & F. W. Hesse (Eds.), Informational environments: Effects of use, effective designs (pp. 273–298). New York, NY: Springer.
Hart, W., Albarracín, D., Eagly, A. H., Brechan, I., Lindberg, M. J., & Merrill, L. (2009). Feeling validated versus being correct: A meta-analysis of selective exposure to information. Psychological Bulletin, 135, 555–588.
Hillmert, S., Groß, M., Schmidt-Hertha, B., & Weber, H. (2017). Informational environments and college student dropout. In J. Buder & F. W. Hesse (Eds.), Informational environments: Effects of use, effective designs (pp. 27–52). New York, NY: Springer.
Höller, J., Tsiatsis, V., Mulligan, C., Karnouskos, S., Avesand, S., & Boyle, D. (2014). From machine-to-machine to the Internet of things: Introduction to a new age of intelligence. Amsterdam: Elsevier.
Hutchins, E. (1995). Cognition in the wild. Cambridge, MA: MIT Press.
Johnson, D., & Johnson, R. (1975). Learning together and alone: Cooperative, competitive, and individualistic learning. Englewood Cliffs, NJ: Prentice-Hall.
Kalyuga, S., & Sweller, J. (2005). Rapid dynamic assessment of expertise to improve the efficiency of adaptive e-learning. Educational Technology Research and Development, 53, 83–93.
Kimmerle, J., Bientzle, M., Cress, U., Flemming, D., Greving, H., Grapendorf, J., … Sassenberg, K. (2017). Motivated processing of health-related information in online environments. In J. Buder & F. W. Hesse (Eds.), Informational environments: Effects of use, effective designs (pp. 75–96). New York, NY: Springer.
Koedinger, K., & Corbett, A. (2006). Cognitive tutors: Technology bringing learning science to the classroom. In K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 61–78). Cambridge, MA: University Press.
Kollar, I., Fischer, F., & Hesse, F. W. (2006). Collaboration scripts—A conceptual analysis. Educational Psychology Review, 18, 159–185.
Kunda, Z. (1990). The case for motivated reasoning. Psychological Bulletin, 108, 480–498.
Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge, MA: Cambridge University Press.
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444.
Lord, C. G., Ross, L., & Lepper, M. R. (1979). Biased assimilation and attitude polarization: The effects of prior theories on subsequently considered evidence. Journal of Personality and Social Psychology, 37, 2098–2109.
Markoff, J. (2016). Machines of loving grace: The quest for common ground between humans and robots. New York, NY: Harper Collins.
Marslen-Wilson, W. D., & Welsh, A. (1978). Processing interactions and lexical access during word recognition in continuous speech. Cognitive Psychology, 10, 29–63.
Mason, L., Pluchino, P., & Tornatora, M. C. (2015). Eye-movement modeling of integrative reading of an illustrated text: Effects on processing and learning. Contemporary Educational Psychology, 41, 172–187.
Mayer, R. E. (Ed.). (2005). The Cambridge handbook of multimedia learning. Cambridge, MA: University Press.
McNamara, J. (1982). Optimal patch use in a stochastic environment. Theoretical Population Biology, 21, 269–288.
Melton, A. W. (1963). Implications of short-term memory for a general theory of memory. Journal of Verbal Learning and Verbal Behavior, 2, 1–21.
Meyer, D. E., & Schvaneveldt, R. W. (1971). Facilitation in recognizing pairs of words: Evidence of a dependence between retrieval operations. Journal of Experimental Psychology, 90, 227–234.
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81–97.
Miller, G. A. (1983). Informavores. In F. Machlup & U. Mansfield (Eds.), The study of information: Interdisciplinary messages (pp. 111–113). New York, NY: Wiley.
Murata, A. (2005). An attempt to evaluate mental workload using wavelet transform of EEG. Human Factors, 47, 498–508.
Nelson, T. O., & Narens, L. (1994). Why investigate metacognition? In J. Metcalfe & A. Shimamura (Eds.), Metacognition: Knowing about knowing (pp. 1–25). Cambridge, MA: MIT Press.
Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.
Olson, J. M., & Zanna, M. P. (1993). Attitudes and attitude change. Annual Review of Psychology, 44, 117–154.
Piaget, J. (1970). Piaget’s theory. In P. H. Mussen (Ed.), Carmichael’s manual of child psychology (Vol. 1, pp. 703–732). New York, NY: Wiley.
Pirolli, P., & Card, S. (1999). Information foraging. Psychological Review, 106, 643–675.
Plass, J. L., O’Keefe, P. A., Homer, B. D., Case, J., Hayward, E. O., Stein, M., & Perlin, K. (2013). The impact of individual, competitive, and collaborative mathematics game play on learning, performance, and motivation. Journal of Educational Psychology, 105, 1050–1066.
Pressey, S. L. (1926). A simple apparatus which gives tests and scores—And teaches. School and Society, 23, 373–376.
Renkl, A. (1997). Learning from worked-out examples: A study on individual differences. Cognitive Science, 21, 1–29.
Romero, C., & Ventura, S. (2007). Educational data mining: A survey from 1995 to 2005. Expert Systems with Applications, 33, 135–146.
Roscoe, R. D ., & Chi, M. T. H. (2007). Understanding tutor learning: Knowledge-building and knowledge-telling in peer tutor's explanations and questions. Review of Education Research, 77, 534–574.
Rosenberg, M. J., & Hovland, C. I. (1960). Cognitive, affective, and behavioral components of attitudes. In C. I. Hovland & M. J. Rosenberg (Eds.), Attitude organization and change: An analysis of consistency among attitude components (pp. 1–14). New Haven, CT: Yale University Press.
Scardamalia, M., & Bereiter, C. (2006). Knowledge building: Theory, pedagogy, and technology. In K. Sawyer (Ed.), Cambridge handbook of the learning sciences (pp. 97–118). New York, NY: Cambridge University Press.
Scheiter, K., Fillisch, B., Krebs, M.-C., Leber, J., Plötzer, R., Renkl, A., … Zimmermann, G. (2017). How to design adaptive multimedia environments to support self-regulated learning. In J. Buder & F. W. Hesse (Eds.), Informational environments: Effects of use, effective designs (pp. 203–223). New York, NY: Springer.
Siemens, G., & Long, P. (2011). Penetrating the fog: Analytics in learning and education. EDUCAUSE Review, 46, 30–32.
Skinner, B. F. (1961). Why we need teaching machines. Harvard Educational Review, 31, 377–398.
Soltanlou, M., Jung, S., Roesch, S., Ninaus, M., Brandelik, K., Heller, J., … Moeller, K. (2017). Behavioral and neurocognitive evaluation of a web-platform for game-based learning of orthography and numeracy. In J. Buder & F. W. Hesse (Eds.), Informational environments: Effects of use, effective designs (pp. 149–176). New York, NY: Springer.
Spiro, R. J., Collins, B. P., Thota, J. J., & Feltovich, P. J. (2003). Cognitive flexibility theory: Hypermedia for complex learning, adaptive knowledge application, and experience acceleration. Educational Technology, 43, 5–10.
Spüler, M., Krumpe, T., Walter, C., Scharinger, C., Rosenstiel, W., & Gerjets, P. (2017). Brain-computer interfaces for educational applications. In J. Buder & F. W. Hesse (Eds.), Informational environments: Effects of use, effective designs (pp. 177–201). New York, NY: Springer.
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12, 257–285.
Sweller, J., Van Merriënboer, J. J., & Paas, F. G. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10, 251–296.
Turner, J. C., & Oakes, P. J. (1986). The significance of the social identity concept for social psychology with reference to individualism, interactionism and social influence. British Journal of Social Psychology, 25, 237–252.
van Gog, T., & Scheiter, K. (2010). Eye tracking as a tool to study and enhance multimedia learning. Learning and Instruction, 20, 95–99.
VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist, 46, 197–221.
Voss, T., Goeze, A., Marx, C., Hoehne, V., Klotz, V., & Schrader, J. (2017). Using digital media to assess and promote school and adult education teacher competence. In J. Buder & F. W. Hesse (Eds.), Informational environments: Effects of use, effective designs (pp. 125–148). New York, NY: Springer.
Werquin, P. (2010, February). Recognition of non-formal and informal learning: Country practices. Paris: OECD.
Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated learning. In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Metacognition in educational theory and practice (pp. 277–304). Mahwah, NJ: Lawrence Erlbaum.
Winne, P. H., Vytasek, J. M., Patzak, A., Rakovic, M., Marzouk, Z., Pakdaman-Savoji, A., … Nesbit, H. C. (2017). Designs for learning analytics to support information problem solving. In J. Buder & F. W. Hesse (Eds.), Informational environments: Effects of use, effective designs (pp. 249–272). New York, NY: Springer.
Witzany, G. (Ed.). (2014). Biocommunication of animals. Dordrecht: Springer.
Wood, W., Lundgren, S., Ouellette, J. A., Busceme, S., & Blackstone, T. (1994). Minority influence: A meta-analytic review of social influence processes. Psychological Bulletin, 115, 323–345.
Zurstiege, G., Zipfel, S., Ort, A., Mack, I., Meitz, T. G. K., & Schäffeler, N. (2017). Managing obesity prevention using digital media—A double-sided approach. In J. Buder & F. W. Hesse (Eds.), Informational environments: Effects of use, effective designs (pp. 97–123). New York, NY: Springer.
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Buder, J., Hesse, F.W. (2017). Informational Environments: Cognitive, Motivational-Affective, and Social-Interactive Forays into the Digital Transformation. In: Buder, J., Hesse, F. (eds) Informational Environments . Springer, Cham. https://doi.org/10.1007/978-3-319-64274-1_1
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